Autonomous pilot drones for detecting objects in a space

Abstract

The rapid development of technology in the field of air transportation technology has made Drone a widely developed flying vehicle. Drones have many uses for example for hobbyists, navigation tools, and transportation equipment. Drones have also been developed to monitor environments that are difficult for humans to reach. The ability to control manually with limited distance becomes an obstacle. This study describes the Mission Definition System (MDS) which is designed to help in defining the Drone mission easily and efficiently and to support the application of autonomous flight. Under the direct supervision of the pilot line, the selection of Drone control will be possible if in an unsafe situation. After the user defines the mission, it is then forwarded to the Mission Calculation Machine, which is tasked with carrying out the exact calculations to get a compatible and predictable flight plan. A Flight Plan is a list of orders that must be completed by a Drone to completing the designed mission. Test results and measurement of the degree of accuracy of the autonomous system have been tested 5 times for each object and have failed the command once because of natural factors when tested. In terms of the image mapping, drones succeed in detecting objects with only one failure on Saturday by mapping several locations that are targets. For sensors that are used only have one failure to detect obstacles.